International Prospects and Trends of Artificial Intelligence Education: A Content Analysis of Top-level AI Curriculum across Countries

Abstract

This study intends to investigate the present situation of AI curriculum offered for grades K-12. We screened 11 representative countries and areas from six continents and assessed the content of their top K-12 AI courses in terms of teaching content and teaching implementation in order to comprehend the current state of K-12 AI courses in diverse nations. Provide some ideas and suggestions for the development of AI courses for students in grades K-12. (1) Countries may choose AI applications, AI influences in various aspects, AI ethics, machine learning, data, classification, reasoning, Identify, and other content to establish independent AI teaching content standards; or choose programming as the core teaching content/starting point; or integrate programming, data, AI, and other content related to improving students' computational thinking into computer/science/technology courses. (2) Project-based learning is still the primary way of instruction, along with a range of other approaches. There are four categories of available instructional resources, and there is an abundance of them. Most countries emphasize the evaluation of students' abilities and the results achieved in the learning process.